Design of an Open Smart Energy Gateway for Smart Meter Data Management

Page, Janie; McParland, Chuck; Piette, Mary Ann; Czarnecki, Stephen

doi:10.2172/1248928

Cited by 4 publications

(3 citation statements)

References 3 publications

(5 reference statements)

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“…However, smart meters are capable of providing 10-second data to an SEP device, and these data can be ported over to an aggregator. Research is under way to evaluate how these data can be aggregated and used to meet ISO ancillary services requirements (Page et al 2015). This research platform, known as an open smart energy gateway (OpenSEG) links to the smart meter.…”

Section: Telemetrymentioning

confidence: 99%

Costs to Automate Demand Response - Taxonomy and Results from Field Studies and Programs

Piette

Schetrit

Kiliccote

et al. 2017

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During the past decade, the technology to automate demand response (DR) in buildings and industrial facilities has advanced significantly. Automation allows rapid, repeatable, reliable operation. This study focuses on costs for DR automation in commercial buildings with some discussion on residential buildings and industrial facilities. DR automation technology relies on numerous components, including communication systems, hardware and software gateways, standards-based messaging protocols, controls and integration platforms, and measurement and telemetry systems. This report compares cost data from several DR automation programs and pilot projects, evaluates trends in the cost per unit of DR and kilowatts (kW) available from automated systems, and applies a standard naming convention and classification or taxonomy for system elements.Median costs for the 56 installed automated DR systems studied here are about $200/kW. The deviation around this median is large with costs in some cases being an order of magnitude great or less than the median. This wide range is a result of variations in system age, size of load reduction, sophistication, and type of equipment included in cost analysis.The costs to automate fast DR systems for ancillary services are not fully analyzed in this report because additional research is needed to determine the total cost to install, operate, and maintain these systems. However, recent research suggests that they could be developed at costs similar to those of existing hot-summer DR automation systems. This report considers installation and configuration costs and does include the costs of owning and operating DR automation systems. Future analysis of the latter costs should include the costs to the building or facility manager costs as well as utility or third party program manager cost.

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Section: Telemetrymentioning

confidence: 99%

Costs to Automate Demand Response - Taxonomy and Results from Field Studies and Programs

Piette

Schetrit

Kiliccote

et al. 2017

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“…It stored 48 h of current consumption data in a circular cache in XML format and automated data transfer to the utility. The designed system was used for homes, residential areas and commercial buildings in California (Page et al , 2015). The data processing method defined in Fowler et al (2015) was envisioned for daily, monthly or annual consumption analysis and load profiles generation.…”

Section: Existing Integrated Approaches For Analyzing Datamentioning

confidence: 99%

Data analytics criteria of IoT enabled smart energy meters (SEMs) in smart cities

Ahuja

Khosla

2019

IJESM

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Purpose This paper aims to focus on data analytic tools and integrated data analyzing approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Design/methodology/approach A few research strategies have been accounted for analyzing the raw data, yet at the same time, a considerable measure of work should be done in making these commercially reasonable. Data analytic tools and integrated data analyzing approaches are used on SEMs. Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Advantages of SEM’s are additionally discussed for inspiring consumers, utilities and their respective partners. Findings Consumers, utilities and researchers can also take benefit of the recommended framework by planning their routine activities and enjoying rewards offered by gamification approach. Through gamification, consumers’ commitment enhances, and it changes their less manageable conduct on an intentional premise. The practical implementation of such approaches showed the improved energy efficiency as a consequence.

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“…Smart meters are capable of providing 10-second data to an SEP device, and these data can be ported over to an aggregator. The Open smart energy gateway (OpenSEG), linking to the smart meter, is an open-source data platform designed to work with ZigBee SEP 1.x to provide consumers with access to the most recent 48 hours of their data (Page et al 2015). Data are stored locally in a circular cache.…”

Section: Communicationmentioning

confidence: 99%

Comparison of Actual Costs to Integrate Commercial Buildings with the Grid

Piette

Black

Yin

2016

Self Cite

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During the past decade, the technology to automate demand response (DR) in buildings and industrial facilities has advanced significantly. Automation allows rapid, repeatable, reliable operation. This study focuses on costs for DR automation in commercial buildings with some discussion on residential buildings and industrial facilities. DR automation technology relies on numerous components, including communication systems, hardware and software gateways, standards-based messaging protocols, controls and integration platforms, and measurement and telemetry systems. This paper discusses the impact factors that contribute to the costs of automated DR systems, with a focus on OpenADR 1.0 and 2.0 systems. In addition, this report compares cost data from several DR automation programs and pilot projects, evaluates trends in the cost per unit of DR and kilowatts (kW) available from automated systems, and applies a standard naming convention and classification or taxonomy for system elements. In summary, median costs for the 56 installed automated DR systems studied here are about $200/kW. The deviation around this median is large with costs in some cases being an order of magnitude greater or less than median. Costs to automate fast DR systems for ancillary services are not fully analyzed in this report because additional research is needed to determine the total such costs.

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Design of an Open Smart Energy Gateway for Smart Meter Data Management

Cited by 4 publications

References 3 publications

Costs to Automate Demand Response - Taxonomy and Results from Field Studies and Programs

Costs to Automate Demand Response - Taxonomy and Results from Field Studies and Programs

Data analytics criteria of IoT enabled smart energy meters (SEMs) in smart cities

Comparison of Actual Costs to Integrate Commercial Buildings with the Grid

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